TY - JOUR
T1 - Unmanned aerial vehicles in hydrology and water management
T2 - Applications, challenges and perspectives
AU - Acharya, Bharat Sharma
AU - Bhandari, Mahendra
AU - Bandini, Filippo
AU - Pizarro, Alonso
AU - Perks, Matthew
AU - Joshi, Deepak Raj
AU - Wang, Sheng
AU - Dogwiler, Toby
AU - Ray, Ram L
AU - Kharel, Gehendra
AU - Sharma, Sadikshya
PY - 2021
Y1 - 2021
N2 - The hydrologic sciences and water resources management have long depended on a combination of in-situ measurements and remotely-sensed data for research and regulatory purposes. In-situ measurements are constrained in their spatial distribution by both logistics and costs. Satellite- and manned aircraft-based remote sensing provide spatially broad data, but often of a coarse resolution. Furthermore, all these data collection methods are often limited in their ability to respond to specific short-term events when the data and imagery could inform real-time assessment and decision-making, especially during and immediately after natural disasters. Researchers and regulators are increasingly using Unmanned Aerial Vehicles (UAVs) to fill these gaps in both spatial and temporal data resolution. UAVs are often more cost-effective than traditional remote sensing or in-situ data collection methodologies and the availability of new advancements in UAV design, power supply, payload capacity, and sensors has been driving rapid innovations in their use in the hydrological sciences. This in-depth review explores these UAV technologies and how they are being employed for on-demand and cost-effective characterization, monitoring, assessment, and modeling of soil and water resources. Our discussion addresses both key opportunities and challenges in surface water and groundwater studies, land-atmosphere interaction studies, water management in agriculture and forestry, ecosystem monitoring, and hydrological modeling.
AB - The hydrologic sciences and water resources management have long depended on a combination of in-situ measurements and remotely-sensed data for research and regulatory purposes. In-situ measurements are constrained in their spatial distribution by both logistics and costs. Satellite- and manned aircraft-based remote sensing provide spatially broad data, but often of a coarse resolution. Furthermore, all these data collection methods are often limited in their ability to respond to specific short-term events when the data and imagery could inform real-time assessment and decision-making, especially during and immediately after natural disasters. Researchers and regulators are increasingly using Unmanned Aerial Vehicles (UAVs) to fill these gaps in both spatial and temporal data resolution. UAVs are often more cost-effective than traditional remote sensing or in-situ data collection methodologies and the availability of new advancements in UAV design, power supply, payload capacity, and sensors has been driving rapid innovations in their use in the hydrological sciences. This in-depth review explores these UAV technologies and how they are being employed for on-demand and cost-effective characterization, monitoring, assessment, and modeling of soil and water resources. Our discussion addresses both key opportunities and challenges in surface water and groundwater studies, land-atmosphere interaction studies, water management in agriculture and forestry, ecosystem monitoring, and hydrological modeling.
KW - Environmental Monitoring
KW - Hydrology
KW - Hyperspectral Sensors
KW - LiDAR
KW - Modeling
KW - Remote Sensing
KW - Unmanned Aerial Vehicles
U2 - 10.1029/2021WR029925
DO - 10.1029/2021WR029925
M3 - Review
SN - 0043-1397
VL - 57
JO - Water Resources Research
JF - Water Resources Research
IS - 11
M1 - e2021WR029925
ER -